As 2025 comes to an end, where do we stand with AI in the supply chain? What is real? What is hype? Machine learning has been a part of advanced demand forecasting for over 20 years. But these ...

The era of historical markups is over. In today's volatile market, margin protection requires moving beyond reactive ...

Traditional supply chain systems have promised end-to-end visibility and self-service analytics for years, but the experience ...

Forbes contributors publish independent expert analyses and insights. I cover the impact of AI and Machine Learning on the supply chain. The industrial sector is undergoing its most significant ...

These innovations further strengthen Blue Yonder's retail solutions which include the Blue Yonder Network, a multi-enterprise supply chain network that provides retailers access to over 172,000 global ...

On its own, AI cannot bring value to supply chain orchestration. Companies need comprehensive systems that bring together ...

Supply chain planning leaders face an increasingly complex landscape of AI technologies, where the wrong choice can undermine automation goals and planning quality. This white paper provides a ...

In planning, machine learning synthesizes real-time market trends and external factors to drive forecast accuracy ...

Artificial intelligence (AI)—and eventually, artificial general intelligence (AGI)—may rank among the most transformative developments in human history. Calling them mere “tools” seems reductive; ...

As hospitals and health systems face escalating supply costs and supply chain disruptions, they are exploring new strategies to improve organizational resilience and control expenses. Given the ...

FLO, offers practical guidance on leveraging artificial intelligence, digital twins and streamlined workflows to improve ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...